Lead Data Scientist

ZipRecruiter; Nottingham; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

A fast-growing financial services organization is seeking a Lead Data Scientist to drive innovation using advanced data science and machine learning techniques. The role involves developing predictive models and enhancing data-driven solutions across fraud prevention, marketing strategies, and more. Candidates should possess strong technical skills, prior experience in a commercial environment, and a degree in a numerical discipline.

Qualifications

• Proven experience delivering end-to-end data science solutions in a commercial environment.
• Experience in applying Gen AI tools or techniques is highly desirable.

Responsibilities

• Own and develop predictive models to improve customer outcomes.
• Lead model deployment and policy setting.
• Deliver actionable insights through structured analysis.

Skills

Predictive Modelling

Machine Learning

AI

Problem-Solving

Communication

Stakeholder Management

Education

Degree in a Numerical Discipline

Tools

R

Python

SQL

Power BI

Job description

Job Description

Lead Data Scientist

Location: Flexible / HybridContract Type: PermanentSalary: 50k-60k

Monday to Friday core office hours

We are recruiting a Lead Data Scientist on behalf of a fast-growing financial services organisation. This is an opportunity to join a forward-thinking team focused on driving innovation across the full customer lifecycle using advanced data science and machine learning techniques.

About the Role:

As a Lead Data Scientist, you will play a pivotal role in developing and enhancing data-driven solutions across fraud prevention, marketing strategy, credit risk, and customer management. You'll have the opportunity to shape the direction of data science initiatives and work with a highly skilled team to implement autonomous decision frameworks, predictive modelling, and advanced analytics.

Key Responsibilities:

• Own and develop predictive models to improve customer outcomes across multiple business domains.
• Lead model deployment and policy setting to enhance autonomous decisioning.
• Design and implement test-and-learn strategies that influence key business decisions.
• Deliver actionable insights through structured analysis and clear communication.
• Continuously seek and identify opportunities for process improvement through data.

Key Skills & Experience:

• Proven experience delivering end-to-end data science solutions in a commercial environment.
• Strong technical expertise in predictive modelling, machine learning, and AI.
• Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI.
• Excellent problem-solving, communication, and stakeholder management skills.
• Experience in applying Gen AI tools or techniques is highly desirable.
• Educated to degree level (2:1 or above) in a numerical discipline.

What You'll Bring:

• A proactive, self-motivated approach to solving real-world business problems.
• The ability to work both independently and collaboratively within a team of ~5.
• A high level of discretion and professionalism when handling sensitive data.
• A mindset focused on innovation, continuous learning, and delivering outcomes.

Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment.

Tate is acting as an Employment Business in relation to this vacancy.

Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your pronouns in your application.